repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
Explore
68,063 skills indexed with the new KISS metadata standard.
- repo: https://github.com/pre-commit/pre-commit-hooks
LLM Guard by [Protect AI](https://protectai.com/llm-guard) is a comprehensive tool designed to fortify the security of Large Language Models (LLMs).
:tada: Thanks for taking the time to contribute! :tada:
MD004: false # Unordered list style
[*]
Guardrails docs are served as a docusaurus site. The docs are compiled from various sources
- "guardrails/version.py"
Welcome and thank you for your interest in contributing to Guardrails! We appreciate all contributions, big or small, from bug fixes to new features. Before diving in, let's go through some guidelines to make the process smoother for everyone.
<img src="https://raw.githubusercontent.com/guardrails-ai/guardrails/main/docs/dist/img/Guardrails-ai-logo-for-dark-bg.svg#gh-dark-mode-only" alt="Guardrails AI Logo" width="600px">
*.pyc
- repo: https://github.com/astral-sh/ruff-pre-commit
*__pycache__*
NVIDIA is dedicated to the security and trust of our software products and services, including all source code repositories managed through our organization.
All notable changes to this project will be documented in this file.
[](https://opensource.org/licenses/Apache-2.0)
SPDX-License-Identifier: Apache-2.0
Welcome to the NeMo Guardrails contributing guide. We're excited to have you here and grateful for your contributions. This document provides guidelines and instructions for contributing to this project.
All notable changes to the Colang language and runtime will be documented in this file.
No description available.
stages:
- repo: https://github.com/pre-commit/pre-commit-hooks
*.pyc
.idea
Building LLM applications with LlamaIndex involves building with LlamaIndex